Statistical mining of interesting association rules

被引：0
|
作者：
Christian H. Weiß
机构：
[1] University of Würzburg,Institute of Mathematics, Department of Statistics
来源：
Statistics and Computing | 2008年 / 18卷
关键词：
Association rules; Statistical properties; Interestingness measures; Precision;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This article utilizes stochastic ideas for reasoning about association rule mining, and provides a formal statistical view of this discipline. A simple stochastic model is proposed, based on which support and confidence are reasonable estimates for certain probabilities of the model. Statistical properties of the corresponding estimators, like moments and confidence intervals, are derived, and items and itemsets are observed for correlations.
引用
收藏
页码：185 / 194
页数：9
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